The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
The Brain-Derived Neurotrophic Factor val66met Polymorphism and Variation in Human Cortical Morphology
Open accessAbstract
A variation in the BDNF gene (val66met) affects the function of BDNF in neurons, predicts variation in human memory, and is associated with several neurological and psychiatric disorders. Here, we show that, in magnetic resonance imaging scans of a large sample of normal individuals, this polymorphism affects the anatomy of the hippocampus and prefrontal cortex, identifying a genetic mechanism of variation in brain morphology related to learning and memory.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Yet another example is the consequence of having the Val66Met allele of the BDNF gene on hippocampal volume, memory and mood disorders (Hariri et al., 2003; Pezawas et al., 2004; Jiang et al., 2005; Szeszko et al., 2005).”
From Central effects of stress hormones in health and disease: understanding the protective and damaging effects of stress and stress mediators (2008) · cites this paper as Pezawas et al., 2004
In the citing paper
“Yet another example is the consequence of having the Val66Met allele of the brain-derived neurotrophic factor (BDNF) gene on hippocampal volume, memory, and mood disorders.54-57”
From Protective and damaging effects of stress mediators: central role of the brain (2006) · cites this paper as [56]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
da Luz, A. C. D. D. S., Dias, G. P., Bevilaqua, M. C. D. N., Cocks, G. D., Gardino, P. F., Thuret, S., & Nardi, A. E. (2013) · Neuropsychobiology · doi:10.1159/000353269 · Cited by 4,015
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., Zaitsev, E., Gold, B., Goldman, D., Dean, M., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00035-7 · Cited by 3,888
Self-citationEffect of COMT Val 108/158 Met genotype on frontal lobe function and risk for schizophrenia
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., Goldman, D. A., & Weinberger, D. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111134598 · Cited by 2,416
Self-citationHuang, Z. J., Kirkwood, A., Pizzorusso, T., Porciatti, V., Morales, B., Bear, M. F., Maffei, L., & Tonegawa, S. (1999) · Cell · doi:10.1016/s0092-8674(00)81509-3 · Cited by 1,198
Flagged first, then by citations
Cited by
Sorted by citations
Items 601–700 of 890
Vyas, N. S., & Puri, B. K. (2012) · PubMed · Cited by 15
Mosiołek, A., Pietrzak, M., Tabisz, M., Wojtaszek, W., Zabielska, M., Ostrowska, A., Szwed, P., Mosiołek, J., & Szulc, A. (2022) · Biomedicines · doi:10.3390/biomedicines11010027 · Cited by 15
A neurogenetics approach to defining differential susceptibility to institutional care
Brett, Z. H., Sheridan, M. A., Humphreys, K., Smyke, A. T., Gleason, M. M., Fox, N. A., Zeanah, C. H., Nelson, C. A., & Drury, S. S. (2014) · International Journal of Behavioral Development · doi:10.1177/0165025414538557 · Cited by 17
Whalley, H. C., Baig, B. J., Hall, J., Job, D. E., McIntosh, A. M., Owens, D. G. C., Johnstone, E. C., & Lawrie, S. M. (2010) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31128 · Cited by 16
Merritt, V. C., Clark, A. L., Evangelista, N. D., Sorg, S. F., Schiehser, D. M., & Delano‐Wood, L. (2020) · The Clinical Neuropsychologist · doi:10.1080/13854046.2020.1740324 · Cited by 17
Treble‐Barna, A., Heinsberg, L. W., Puccio, A. M., Shaffer, J. R., Okonkwo, D. O., Beers, S. R., Weeks, D. E., & Conley, Y. P. (2021) · Neurorehabilitation and neural repair · doi:10.1177/15459683211028245 · Cited by 15
Mariani, S., Ventriglia, M., Simonelli, I., Bucossi, S., Siotto, M., & Squitti, R. (2014) · Rejuvenation Research · doi:10.1089/rej.2014.1612 · Cited by 15
Bulgin, N., Strauss, J. S., King, N. A., Shaikh, S. A., George, C. J., Fox, N. A., Barr, C. L., Kovács, M., & Kennedy, J. L. (2008) · NeuroMolecular Medicine · doi:10.1007/s12017-008-8038-x · Cited by 15
Hayden, E. P., Olino, T. M., Bufferd, S. J., Miller, A., Dougherty, L. R., Sheikh, H. I., Singh, S. M., & Klein, D. N. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000035 · Cited by 17
de Araújo, C. M., Zugman, A., Swardfager, W., Belangero, S. I., Ota, V., Spíndola, L., Hakonarson, H. H., Pellegrino, R., Gadelha, A., Salum, G. A., et al. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.12.008 · Cited by 15
Erickson, K. I. (2008) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.009.2008 · Cited by 15
Coşkun, Ş., Karadağ, M., Gökçen, C., & Öztuzcu, S. (2021) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2021.19.2.262 · Cited by 14
Genetic Risk Score Predicts Late-Life Cognitive Impairment
Wollam, M. E., Weinstein, A. M., Saxton, J. A., Morrow, L. A., Snitz, B. E., Fowler, N. R., Erickson, B. L. S., Roecklein, K. A., & Erickson, K. I. (2015) · Journal of Aging Research · doi:10.1155/2015/267062 · Cited by 14
BDNF Val66Met polymorphism interacts with sex to influence bimanual motor control in healthy humans
Smolders, R., Rijpkema, M., Franke, B., & Fernández, G. (2012) · Brain and Behavior · doi:10.1002/brb3.83 · Cited by 14
Kalmady, S. V., Venkatasubramanian, G., Shivakumar, V., Jose, D. A., Ravi, V., & Gangadhar, B. N. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00064 · Cited by 14
Lohia, R., Salari, R., & Brannigan, G. H. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007390 · Cited by 15
Dolcetti, E., Bruno, A., Azzolini, F., Gilio, L., Moscatelli, A., Vito, F. D., Pavone, L., Iezzi, E., Gambardella, S., Giardina, E., et al. (2022) · Genes · doi:10.3390/genes13020332 · Cited by 14
Urinary Brain-Derived Neurotrophic Factor as a Biomarker of Executive Functioning
Koven, N. S., & Collins, L. R. (2014) · Neuropsychobiology · doi:10.1159/000362242 · Cited by 14
Klein, A. B., Trajkovska, V., Erritzøe, D., Haugbøl, S., Madsen, J., Baaré, W. F. C., Aznar, S., & Knudsen, G. M. (2010) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2010.114 · Cited by 16
Barton, B., Treister, A. K., Humphrey, M., Abedi, G., Cramer, S. C., & Brewer, A. A. (2014) · Journal of Vision · doi:10.1167/14.9.4 · Cited by 14
Serum concentrations of brain-derived neurotrophic factor and mental disorders in imprisoned women
Panichi, R. M. D., Bins, H. D. D. C., Tramontina, J., Ceresér, K. M. M., de Aguiar, B. W., Paz, A. V. C., & Taborda, J. (2015) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2014-1421 · Cited by 14
Morin‐Moncet, O., Beaumont, V., Beaumont, L. D., Lepage, J., & Théoret, H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00388.2013 · Cited by 19
Sambataro, F., Pennuto, M., & Wolf, R. C. (2012) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152712800672463 · Cited by 14
Imaging genetics: implications for research on variable antidepressant drug response
Rabl, U., Scharinger, C., Müller, M., & Pezawas, L. (2010) · Expert Review of Clinical Pharmacology · doi:10.1586/ecp.10.35 · Cited by 15
Self-citationNicholson, E., Garry, M. I., Ney, L. J., Hsu, C.-M. K., Zuj, D. V., & Felmingham, K. L. (2023) · Scientific Reports · doi:10.1038/s41598-023-30787-6 · Cited by 13
Brain-Derived Neurotrophic Factor in Pediatric Acquired Brain Injury and Recovery
Treble‐Barna, A., Petersen, B. A., Stec, Z., Conley, Y. P., Fink, E. L., & Kochanek, P. M. (2024) · Biomolecules · doi:10.3390/biom14020191 · Cited by 13
Halonen, R., Kuula, L., Lahti, J. M. T., Räikkönen, K., & Pesonen, A. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113889 · Cited by 13
Rippey, C. S., Pietrzak, R. H., Maruff, P. T., & Adams, T. G. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105820 · Cited by 13
Lamb, Y. N., Thompson, C. S., McKay, N. S., Waldie, K. E., & Kirk, I. J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01212 · Cited by 13
Decreased medial temporal lobe activation in BDNF 66Met allele carriers during memory encoding
Kauppi, K., Nilsson, L., Adolfsson, R., Lundquist, A., Eriksson, E., & Nyberg, L. H. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.028 · Cited by 13
Neurogenetic effects on cognition in aging brains: a window of opportunity for intervention?
Reinvang, I. (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00143 · Cited by 13
Resolving heterogeneity in Alzheimer's disease based on individualized structural covariance network
Zheng, C., Zhao, W. D., Yang, Z., Tang, D., Feng, M., & Guo, S. (2023) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2023.110873 · Cited by 13
Meng, J., Lei, H. C., Wei, D., Sun, J., Li, Y., & Qiu, J. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.10.002 · Cited by 12
Kearney-Ramos, T. E., & Haney, M. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110290 · Cited by 12
Verhagen, M., van Roekel, E., & Engels, R. C. M. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092768 · Cited by 13
Chen, Y., Song, W., Yang, J., Chen, K. G., Huang, R., Zhao, B., Cao, B., Burgunder, J., & Shang, H. (2013) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2013.06.004 · Cited by 12
Xu, X., García, J. M., Ewalt, R., Nason, S. R., & Pozzo‐Miller, L. D. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00203 · Cited by 13
The Combined Effect of APOE and BDNF Val66Met Polymorphisms on Spatial Navigation in Older Adults
Laczó, J., Čechová, K., Pařízková, M., Lerch, O., Andel, R., Maťoška, V., Kaplan, V., Matušková, V., Nedelská, Z., Vyhnálek, M., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200615 · Cited by 13
Martens, L., Herrmann, L., Colic, L., Li, M., Richter, A., Behnisch, G., Stork, O., Seidenbecher, C., Schott, B. H., & Walter, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-86220-3 · Cited by 12
Zdanys, K. F., Kleiman, T., Zhang, H., Özbay, F., MacAvoy, M. G., Gelernter, J. E., & van Dyck, C. H. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-1106 · Cited by 14
Differential effects of BDNF val66met in repetitive associative learning paradigms
Freundlieb, N., Backhaus, W., Brüggemann, N., Gerloff, C. P., Klein, C., Pinnschmidt, H. O., & Hummel, F. C. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.04.010 · Cited by 12
BDNF Gene Val66met Polymorphism Associated Grey Matter Changes in Human Brain
Eker, M. C., Kitiş, Ö., Ozan, E., Okur, H., Eker, Ö. D., Ersoy, M. A., Akdeniz, F., Vahip, S., Akarsu, N. A., & Gönül, A. S. (2005) · Psychiatry and Clinical Psychopharmacology · Cited by 12
Brain structure and working memory adaptations associated with maturation and aging in mice
Clifford, K. P., Miles, A. E., Prévot, T. D., Misquitta, K. A., Ellegood, J., Lerch, J. P., Sibille, E. L., Nikolova, Y. S., & Banasr, M. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1195748 · Cited by 13
Val66Met polymorphism of brain-derived neurotrophic factor is associated with idiopathic dystonia
Sako, W., Murakami, N., Izumi, Y., & Kaji, R. (2014) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2014.08.014 · Cited by 11
Genetic Polymorphisms: A Cornerstone of Translational Biobehavioral Research
Hariri, A. R. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000811 · Cited by 11
Bonetti, L., Bruzzone, S. E. P., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P., Palva, S., & Brattico, E. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e15600 · Cited by 11
BDNF polymorphism in non-veridical decision making and differential effects of rTMS
Tulviste, J., Goldberg, E., Podell, K., Vaht, M., Harro, J., & Bachmann, T. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.02.027 · Cited by 11
Liu, B., He, W., & Liu, D. (2019) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s225536 · Cited by 11
Antipsychotic Induced Catatonia: A Case of Probable Dementia With Lewy Bodies
Xiong, G. L., Palomino, A. P., Kahn, D. R., & Bourgeois, J. A. (2009) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.21.4.472 · Cited by 11
Neural Activation in Humans during a Simple Motor Task Differs between BDNF Polymorphisms
Cárdenas‐Morales, L., Grön, G., Sim, E.-J., Stingl, J., & Kammer, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096722 · Cited by 13
Li, L., Jiang, N., & Zhao, Y. (2014) · Acupuncture in Medicine · doi:10.1136/acupmed-2014-010602 · Cited by 11
Li, W., Liu, B., Xu, J., Jiang, T., & Yu, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23187 · Cited by 11
Interactions of BDNF Val66Met Polymorphism and Menstrual Pain on Brain Complexity
Low, I., Kuo, P., Tsai, C.-L., Liu, Y.-H., Lin, M., Chao, H., Chen, Y., Hsieh, J., & Chen, L. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00826 · Cited by 13
Genes, cognition, and social behavior: Next steps for foundations and researchers
Lupia, A. (2011) · Politics and the Life Sciences · doi:10.1017/s0730938400014052 · Cited by 10
Huey, E. D., Fremont, R., Manoochehri, M., Gazes, Y., Lee, S., Cosentino, S., Tierney, M., Wassermann, E. M., Momeni, P., & Grafman, J. H. (2020) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.19100211 · Cited by 10
Miao, D., Zhou, X., Wu, X., Chen, C., & Tian, L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.980954 · Cited by 10
Sidiropoulos, C., Jafari‐Khouzani, K., Hamid Soltanian-zadeh, A., Mitsias, P. D., Alexopoulos, P., Richter‐Schmidinger, T., Reichel, M., Lewczuk, P., Doerfler, A., & Kornhuber, J. (2011) · Acta Neuropsychiatrica · doi:10.1111/j.1601-5215.2011.00546.x · Cited by 11
Roviš, D., Černelič-Bizjak, M., Vasiljev, V., Petelin, A., Jenuš, T., Vidic, S., Drevenšek, G., & Pražnikar, Z. J. (2018) · European Addiction Research · doi:10.1159/000492582 · Cited by 10
The Dual Role of Myokines in Fatigue Associated with Inflammatory Joint Diseases
Chmielewski, G., Kuna, J., Jaśkiewicz, Ł., Knapik, M., Mikiewicz, M., Majewski, M. S., & Krajewska–Włodarczyk, M. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s545914 · Cited by 9
Treble‐Barna, A., Wade, S. L., Pilipenko, V. V., Martin, L. J., Yeates, K. O., Taylor, H. G., & Kurowski, B. G. (2022) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617722000194 · Cited by 9
Genetic biomarkers of cognitive impairment and dementia of potential interest in CKD patients
Zoccali, C., & Capasso, G. (2024) · Journal of Nephrology · doi:10.1007/s40620-024-02006-6 · Cited by 9
Fang, H., Zhen, Y. F., Liu, X. Y., Xu, G., Soares, J. C., Zhao, J., & Zhang, X. (2016) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000142 · Cited by 9
Wegman, J., Tyborowska, A., Hoogman, M., Vásquez, A. A., & Janzen, G. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13416 · Cited by 9
Sortwell, C. E., Hacker, M. L., Fischer, D. L., Konrad, P. E., Davis, T. L., Neimat, J. S., Wang, L. H.-C., Song, Y., Mattingly, Z. R., Cole-Strauss, A., et al. (2021) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13504 · Cited by 9
Moderators of gene-outcome associations following traumatic brain injury
Carmichael, J. J., Hicks, A. J., Spitz, G., Gould, K. R., & Ponsford, J. L. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.015 · Cited by 11
Yeşilkaya, Ü. H., Gıca, Ş., Taşdemir, B. G., Menekseoglu, P. O., Cirakli, Z., & Karamustafalıoğlu, N. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.07.056 · Cited by 9
The relationship between kidney health and neurodegenerative diseases
Zuo, M., Chang, L., Neale, N., Maameri, L., Gawhary, S., Lona‐Durazo, F., & Taliun, S. A. G. (2025) · Brain · doi:10.1093/brain/awaf113 · Cited by 8
Han, S., Zheng, R., Li, S., Zhou, B., Jiang, Y. B., Fang, K., Wei, Y., Wen, B., Pang, J., Li, H., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.12.159 · Cited by 8
Venkatasubramanian, G., & Debnath, M. (2014) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2014.12.1.8 · Cited by 10
Differences in Cognitive Outcomes After ECT Depending on BDNF and COMT Polymorphisms
Bennett, D., Currie, J., Fernie, G., Perrin, J. S., & Reid, I. (2016) · Journal of Ect · doi:10.1097/yct.0000000000000325 · Cited by 8
Halonen, R., Kuula, L., Lahti, J. M. T., Makkonen, T., Räikkönen, K., & Pesonen, A. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112157 · Cited by 8
Grazioli, E., Yeh, E. A., Benedict, R. H. B., Parrish, J. B., & Weinstock‐Guttman, B. (2007) · Future Neurology · doi:10.2217/14796708.3.1.49 · Cited by 8
Skilleter, A. J., Weickert, C. S., Moustafa, A. A., Gendy, R., Chan, M., Arifin, N., Mitchell, P. B., & Weickert, T. W. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.07.041 · Cited by 8
Can sex influence the neurocognition of language? Evidence from Parkinson's disease
Reifegerste, J., Estabrooke, I. V., Russell, L. E., Veríssimo, J., Johari, K., Wilmarth, B., Pagán, F., Moussa, C., & Ullman, M. T. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107633 · Cited by 10
A CYP46 T/C SNP modulates parahippocampal and hippocampal morphology in young subjects
Hänggi, J., Mondadori, C. R. A., Buchmann, A., Henke, K., & Höck, C. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.07.001 · Cited by 8
Early Identification and Prevention of Early-Onset Bipolar Disorder
Chang, K., Gallelli, K. A., & Howe, M. E. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195306255.003.0014 · Cited by 8
Di‐Bonaventura, S., Donado-Bermejo, A., Montero-Cuadrado, F., Barrero-Santiago, L., Pérez, L., Hernández, J. V., Fernández‐Carnero, J., & Peña, R. F. (2025) · Healthcare · doi:10.3390/healthcare13030269 · Cited by 8
Xue, Y., Wang, L., Liu, T., Zhao, T., Xie, K., Guo, J., Chen, J., Tang, H., & Tang, M. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.149 · Cited by 7
Epistatic interaction of BDNF and COMT on the frontostriatal system
Wang, C., Liu, B., Long, H., Fan, L., Li, J., Zhang, X., Qiu, C., Yu, C., & Jiang, T. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.04.014 · Cited by 8
Waldie, K. E., Grabka, P., Thompson, J., Murphy, R., Wall, C. R., Ferguson, L. R., & Mitchell, E. A. (2014) · Intelligence · doi:10.1016/j.intell.2013.12.006 · Cited by 7
Ma, L., Chen, Y., Wang, L., Yang, Y., Cheng, F., Tian, Y., & Wan, X. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.11.037 · Cited by 7
Mandelman, S. D., & Grigorenko, E. L. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511977244.006 · Cited by 9
Gonçalves, F. D. T., Marques, L. M., Pessotto, A. V., Barbosa, S. P., Imamura, M., Simis, M., Fregni, F., & Battistella, L. R. (2023) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2023.102917 · Cited by 7
Aldoghachi, A. F., Cheah, P.-S., & Ling, K. (2020) · Neuroscience Research Notes · doi:10.31117/neuroscirn.v3i3.50 · Cited by 7
Genetic Variation in Ataxia Gene ATXN7 Influences Cerebellar Grey Matter Volume in Healthy Adults
van der Heijden, C. D. C. C., Rijpkema, M., Vásquez, A. A., Hakobjan, M., Scheffer, H., Fernández, G., Franke, B., & van de Warrenburg, B. P. C. (2012) · The Cerebellum · doi:10.1007/s12311-012-0423-1 · Cited by 6
Berger, A., Sanwald, S., Montag, C., & Kiefer, M. (2021) · Advances in Cognitive Psychology · doi:10.5709/acp-0318-z · Cited by 6
Demi̇rci̇, E., Şener, E. F., Gül, M. K., Önal, M. G., & Dal, F. (2022) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-022-03321-2 · Cited by 6
Yeşilkaya, Ü. H., Gıca, Ş., Menekseoglu, P. O., Taşdemir, B. G., Cirakli, Z., & Karamustafalıoğlu, N. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03054-4 · Cited by 6
Strońska-Pluta, A., Suchanecka, A., Chmielowiec, K., Chmielowiec, J., Boroń, A., Masiak, J., Sipak‐Szmigiel, O., Recław, R., & Grzywacz, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25020788 · Cited by 6
Rezaei, S., Asgari, K., Keshavarz, P., Tolami, H. F., Saravani, M. F., Saberi, A., Hosseininezhad, M., Bakhshayesh, B., & Kouchakinejad–Eramsadati, L. (2017) · Activitas Nervosa Superior · doi:10.1007/s41470-017-0001-4 · Cited by 6
Bird, C. W., Barber, M. J., Martin, J. L., Mayfield, J. J., & Valenzuela, C. F. (2020) · Alcohol · doi:10.1016/j.alcohol.2020.03.005 · Cited by 7
Murillo‐García, N., Barrio‐Martínez, S., Setién‐Suero, E., Soler, J., Papiol, S., Fatjó‐Vilas, M., & Ayesa‐Arriola, R. (2022) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.220026 · Cited by 6
Wiłkość-Dębczyńska, M., Markowska, A., Zając-Lamparska, L., Skibińska, M., Szałkowska, A., & Araszkiewicz, A. S. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00039 · Cited by 6
Ueda, I., Takemoto, K., Watanabe, K., Sugimoto, K., Ikenouchi, A., Kakeda, S., Katsuki, A., Yoshimura, R., & Korogi, Y. (2020) · PeerJ · doi:10.7717/peerj.9632 · Cited by 6
Human Brain Volume: What’s in the Genes#
Peper, J. S., Zwiers, M. P., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2009) · Springer eBooks · doi:10.1007/978-0-387-76727-7_10 · Cited by 6
Jagust, W. J. (2009) · Frontiers in Neuroscience · doi:10.3389/neuro.01.020.2009 · Cited by 5
Brain-Derived Neurotrophic Factor Polymorphism: More Than a Prognostic Factor During Depression?
Yuluğ, B., Ozan, E., Aydın, N., & Kırpınar, İ. (2009) · Journal of Neuropsychiatry · doi:10.1176/jnp.2009.21.4.471 · Cited by 5
Mental Function as Genetic Expression: Emerging Insights From Cognitive Neurogenetics
Green, A. E., & Dunbar, K. N. (2012) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199734689.013.0007 · Cited by 5
Pressler, S. J., Jung, M., Giordani, B., Titler, M. G., Gradus‐Pizlo, I., Lake, K. R., Wierenga, K. L., Clark, D. G., Perkins, S. M., Smith, D. G., et al. (2023) · Heart & Lung · doi:10.1016/j.hrtlng.2023.02.002 · Cited by 5
Metadata
- Authors
- Pezawas, L., Verchinski, B. A., Mattay, V. S., Callicott, J. H., Kolachana, B. S., Straub, R. E., Egan, M. F., Meyer-Lindenberg, A., & Weinberger, D. R.
- Affiliations
- National Institutes of Health (US)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2004-11-10
- Volume
- 24
- Issue
- 45
- Pages
- 10099-10102
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6730170
- OpenAlex
- W2013373204
- Cited by
- 890
- References
- 27
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 12 · 2023: 18 · 2022: 23 · 2021: 22 · 2020: 30 · 2019: 29 · 2018: 20 · 2017: 32 · 2016: 42 · 2015: 47 · 2014: 71 · 2013: 58 · 2012: 76
- FWCI
- 11.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- brain-derived neurotrophic factor, BDNF Val66Met polymorphism, cortical morphology, hippocampus, prefrontal cortex, brain structure, learning and memory
- MeSH terms
- Adolescent, Adult, Alleles, Female, Hippocampus, Humans, Learning, Magnetic Resonance Imaging, Male, Memory, Middle Aged, Neuronal Plasticity, Organ Size, Polymorphism, Genetic, Genetic Variation, Prefrontal Cortex, Brain-Derived Neurotrophic Factor, Amino Acid Substitution, Imaging, Three-Dimensional
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
